When you pass an incorrect argument to a function in Python, it can result in errors or unexpected behavior.
For example, if you pass a string to a function that expects an integer, you may get a TypeError or unexpected results:
def double(num): return num * 2result = double("5")print(result) # Output: TypeError: can't multiply sequence by non-int of type 'str' |
In this example, the double() function expects an integer as an argument, but we pass a string "5". When we call the double() function with the string "5", we get a TypeError because we cannot multiply a string by an integer.
To avoid this error, we can use error handling to detect when an incorrect argument is passed to a function:
def double(num): try: return num * 2 except TypeError: print("Error: Invalid argument type")result = double("5")print(result) # Output: Error: Invalid argument type |
In this updated example, we use a try-except block to catch the TypeError exception that would be raised when we attempt to multiply a string by an integer. Instead of allowing the error to crash the program, we print an error message indicating that an invalid argument was passed to the double() function.
By using error handling to handle incorrect arguments, we can make our code more robust and prevent unexpected errors from occurring.